| Presentation | 2021-01-26 Channel Selection Method with Multi-Armed Bandit Algorithm for Spectrum Sharing Takashi Imanaka, Mai Ohta, Makoto Taroumaru, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, there is growing concern about scarcity of frequency resources due to the increase of traffic in wireless communications. A cognitive radio system has attracted attention since in effectively uses limited frequency resources. In order to realize the effective frequency use, a new channel selection method is needed. To share a spectrum with many terminals, it is expected that the channel with the lowest channel occupancy rate is accessed from many terminals. Therefore, we proposed new channel selection method that selects a channel according to a length of transmission packets. In the proposed method, a reinforcement learning is used to select the channel where the length of frequency resource after packet transmissions is short. The performances are evaluated by simulation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Cognitive radio / Channel selection / Reinforcement learning |
| Paper # | SR2020-54 |
| Date of Issue | 2021-01-18 (SR) |
| Conference Information | |
| Committee | SR |
|---|---|
| Conference Date | 2021/1/25(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Cognitive Radio, Spectrum Management, Heterogeneous Network, SDN, Machine Learning Application, etc. |
| Chair | Masayuki Ariyoshi(NEC) |
| Vice Chair | Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) |
| Secretary | Suguru Kameda(ATR) / Osamu Takyu(Univ. of Electro-Comm.) / Kentaro Ishidu(Mie Univ.) |
| Assistant | Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Smart Radio |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Channel Selection Method with Multi-Armed Bandit Algorithm for Spectrum Sharing |
| Sub Title (in English) | |
| Keyword(1) | Cognitive radio |
| Keyword(2) | Channel selection |
| Keyword(3) | Reinforcement learning |
| 1st Author's Name | Takashi Imanaka |
| 1st Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| 2nd Author's Name | Mai Ohta |
| 2nd Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| 3rd Author's Name | Makoto Taroumaru |
| 3rd Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| Date | 2021-01-26 |
| Paper # | SR2020-54 |
| Volume (vol) | vol.120 |
| Number (no) | SR-341 |
| Page | pp.pp.39-44(SR), |
| #Pages | 6 |
| Date of Issue | 2021-01-18 (SR) |